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» Learning and Generalization with the Information Bottleneck
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NIPS
2003
14 years 11 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
BMCBI
2010
171views more  BMCBI 2010»
14 years 10 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
HRI
2009
ACM
14 years 7 months ago
Evaluating the ICRA 2008 HRI challenge
This paper reports on the evaluation of the ICRA 2008 Human-Robot Interaction (HRI) Challenge. Five research groups demonstrated state-of-the-art work on HRI with a special focus ...
Astrid Weiss, Thomas Scherndl, Manfred Tscheligi, ...
MICCAI
2009
Springer
15 years 11 months ago
Fast and Robust 3-D MRI Brain Structure Segmentation
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
Michael Wels, Yefeng Zheng, Gustavo Carneiro, M...
SIGCSE
2004
ACM
141views Education» more  SIGCSE 2004»
15 years 3 months ago
Running on the bare metal with GeekOS
Undergraduate operating systems courses are generally taught e of two approaches: abstract or concrete. In the approach, students learn the concepts underlying operating systems t...
David Hovemeyer, Jeffrey K. Hollingsworth, Bobby B...